| ▲ | Graphing how the 10k* most common English words define each other(wyattsell.com) |
| 37 points by wyattsell 3 days ago | 11 comments |
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| ▲ | anigbrowl an hour ago | parent | next [-] |
| It's a common problem to get excited about networks, build a large one, and then by stuck with an unapproachable hairball. If you want to explore network structure, consider using tools like quadrilateral simmelian backones which can provide an opinionated look at what matters in the network. |
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| ▲ | avidiax 3 hours ago | parent | prev | next [-] |
| If you like this, you would probably enjoy Princeton Wordnet. They have unfortunately stopped developing it. You can still browse it a bit online with some 3rd party sites: https://en-word.net/ |
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| ▲ | castral 2 days ago | parent | prev | next [-] |
| It's an interesting visualization for sure, but I don't really know what I can take away from it. Is it useful for something? |
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| ▲ | h4ch1 2 days ago | parent [-] | | You can look at this as how small sets of a primitive lexicon give rise to a larger, more complex language. At least that's how I interpret it. |
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| ▲ | rhelz 2 days ago | parent | prev | next [-] |
| Beautiful! Thank you! |
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| ▲ | theodpHN 3 days ago | parent | prev | next [-] |
| Very neat. What software is being used to construct/display the graph? |
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| ▲ | wyattsell 3 days ago | parent [-] | | Glad you like it. NetworkX for creating the graph and the layout; then SigmaJS for displaying it. |
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| ▲ | readthenotes1 4 hours ago | parent | prev [-] |
| Is, be, and the don't show up in search box. What am I missing? |
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| ▲ | Cyphase 3 hours ago | parent [-] | | Other words too, e.g. "from". My first thought was that the creator used a search library that filters common words by default, but the search code is all in the page and doesn't do that. My second thought was that the 10k word corpus doesn't include those most common words. But it does. Then I realized that the creator filtered them out. The page does say "7931 words", and the title here on HN says "10k* most common". The original corpus has exactly 10,000 words. https://github.com/first20hours/google-10000-english/blob/d0... The first 21 include all four we've mentioned: the, of, and, to, a, in, for, is, on, that, by, this, with, i, you, it, not, or, be, are, from | | |
| ▲ | wyattsell 2 hours ago | parent [-] | | The reason for this (I should have probably added a note to the site in hindsight), is that WordNet doesn't include definitions for these words in its corpus. This is why the count is less than 10,000: anything that WordNet doesn't have a definition for isn't included. I left a nod to this in the asterisk, but I realise now I didn't explain it anywhere. From the old Princeton WordNet FAQ page (https://wordnet.princeton.edu/frequently-asked-questions): > WordNet only contains "open-class words": nouns, verbs, adjectives, and adverbs. Thus, excluded words include determiners, prepositions, pronouns, conjunctions, and particles. I suppose I could have included them as source nodes (only outgoing), but I think they would have ended up connecting to a whole bunch of definitions, while not providing much in the way of interest. |
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